Skip to content

Claude Haiku 5.5 (effort default (no --effort flag) · thinking on) on Which tunnel peer gets this packet? Parse a VPN peer config, longest-prefix routing, ownership moves and findings

AClaude Haiku 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-20 · by @bobsiopener

Trust 75%Fully autonomoussuccess · first try
Estimated cost
$0.01
Wall time
60m
Human step-ins
0
Outcome
Pass

Compare with other models on this task →

Summary

Exact prompt

# Which tunnel peer gets this packet? Our home-lab VPN box uses WireGuard-style configs (sample: `home.conf`). `wgroute.py` is meant to answer "which peer would a packet to IP X be sent to?" and to list config problems, but the draft is wrong in many ways. Rewrite `wgroute.py` (Python 3 stdlib only; `ipaddress` is fine) so that `WGConfig(text)` exposes `.peers()`, `.route(ip)` and `.findings` exactly as below. ## Parsing 1. Lines are numbered from 1. `#` starts a comment anywhere on a line; the rest of the line is dropped, then the line is stripped. Empty lines are skipped. 2. A line that starts with `[` and ends with `]` opens a section; the name inside is stripped and compared case-insensitively. Only `peer` sections matter; `[Interface]` and any other section (and lines before the first section) are ignored. 3. Inside a peer section, `key = value` lines are split at the first `=`; key and value are stripped; keys are case-insensitive. Lines without `=` and unknown keys are ignored. `PublicKey` sets the peer's key (the value is kept verbatim, including any trailing `=`; if repeated, the last one wins). `AllowedIPs` lines accumulate: each value is split on `,`, entries are stripped, empty entries are skipped silently. 4. A peer section is processed when the next section header or the end of the text is reached, in file order: - no PublicKey -> finding `("missing_key", header_line)`, the section is skipped; - a PublicKey already used by an earlier processed peer -> finding `("duplicate_peer", key, header_line)`, the whole section is skipped; - otherwise each AllowedIPs entry in order: it is an IPv4/IPv6 address or CIDR; a bare address means /32 or /128; host bits are cleared (`10.0.0.9/24` -> `10.0.0.0/24`). An entry that cannot be parsed gives `("invalid", line_number_of_that_AllowedIPs_line, entry_as_stripped)` and is skipped. 5. **Ownership.** Each normalised prefix belongs to at most one peer. If a prefix is already owned by a different peer, it moves to the current peer and gives `("moved", prefix_string, old_key, new_key)`. Repeating a prefix the same peer already owns changes nothing and gives no finding. 6. `.findings` is the list of these tuples in the order they were produced. Prefix strings use Python's `str(ipaddress.ip_network(...))` form. ## Queries 7. `.peers()` returns a dict mapping every processed peer key (in processing order; peers that ended up with no prefixes are included with `[]`) to its prefix strings sorted by (IP version, network address as integer, prefix length). 8. `.route(ip)` returns the key of the peer owning the **longest** prefix that contains `ip`, considering only prefixes of the same IP version, or `None` if none does. Surrounding whitespace in `ip` is ignored. An IPv4-mapped IPv6 address (`::ffff:a.b.c.d`) is looked up as the IPv4 address `a.b.c.d`. An invalid address raises `ValueError`. 9. **Speed.** A config with 3,000 peers (about 9,000 prefixes) must parse and then answer 20,000 `route()` calls in under 10 seconds total on our shared test box. ## Scoring Hidden check groups (partial credit = fraction passed; all must pass): `parse_sections_comments` (1-3), `skip_rules_findings` (4, 6), `normalise_and_invalid` (4), `ownership_moves` (5, 6), `peers_listing` (7), `longest_prefix` (8), `mapped_and_errors` (8), `randomized_agreement` (300 random configs of small random prefixes compared on peers(), findings and 50 routes each), `speed` (9). On `home.conf` the correct `.route("10.8.0.2")` is `"PHONEkey="`.

Exact findings order (missing key, duplicate peer, invalid entry with line number, prefix moved between peers), host-bit normalisation, IPv4-mapped IPv6 lookups and a 3,000-peer speed check that rules out linear scans. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Each run's notes say how its cost was measured (estimates are marked).

Success criteria: 1. parse_sections_comments 2. skip_rules_findings 3. normalise_and_invalid 4. ownership_moves 5. peers_listing 6. longest_prefix 7. mapped_and_errors 8. randomized_agreement (300 configs) 9. speed (3,000 peers, 20,000 lookups < 10 s)

Setup notes: Use Case Scout batch 8 case i02-vpn-peer-routing (offline fixture). Prepared with batch8/prepare.sh; hidden key/tests kept outside the agent's work dir. Prompt = TASK.md verbatim. Scored with the scout's scorer: `python score.py WORKDIR KEYDIR`. Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Single run, no retries. 1-min load average at scoring: 2.18. Claude Code's own reported cost for claude-haiku-5.5: $0.014149. Score: 9/9. Cost is an ESTIMATE: measured tokens x pricing.json list price (Claude Pro subscription, nothing billed); input_tokens include cache reads and writes. Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.01
Wall time
60m
Human step-ins
0
Turns
9
Model usage
ModelInput tokOutput tokCost
AClaude Haiku 5.5anthropic/claude-haiku-5.5effort default (no --effort flag) · thinking on277,87113,827$0.01

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Claude Haiku 5.5 (anthropic/claude-haiku-5.5, effort default (no --effort flag) · thinking on) via Claude Code 2.1.299 (headless -p), cloud.
  3. It counts as a success only if it meets every success criterion: 1. parse_sections_comments 2. skip_rules_findings 3. normalise_and_invalid 4. ownership_moves 5. peers_listing 6. longest_prefix 7. mapped_and_errors 8. randomized_agreement (300 configs) 9. speed (3,000 peers, 20,000 lookups < 10 s)
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

Was this useful?

⇄ Rerun on another model

Automated checks

Trust 75% comes from these checks (how Trust % works).

Evidence log
[
 {
  "duration_api_ms": 489837,
  "stop_reason": "end_turn",
  "session_id": "[REDACTED]",
  "total_cost_usd": 0.014148760000000002,
  "usage": {
   "input_tokens": 20,
   "cache_creation_input_tokens": 23447,
   "cache_read_input_tokens": 275359,
   "output_tokens": 13837,
   "output_tokens_details": {
    "thinking_tokens": 8081
   },
   "server_tool_use": {
    "web_search_requests": 0,
    "web_fetch_requests": 0
   },
   "service_tier": "standard",
   "cache_creation": {
    "ephemeral_1h_input_tokens": 23447,
    "ephemeral_5m_input_tokens": 0
   },
   "inference_geo": "global",
   "iterations": [
    {
     "input_tokens": 2,
     "output_tokens": 945,
     "cache_read_input_tokens": 36202,
     "cache_creation_input_tokens": 745,
     "cache_creation": {
      "ephemeral_5m_input_tokens": 0,
      "ephemeral_1h_input_tokens": 745
     },
     "type": "message"
    }
   ],
   "speed": "standard",
   "fallback_credit": null
  },
  "modelUsage": {
   "claude-haiku-5-5": {
    "inputTokens": 18,
    "outputTokens": 13827,
    "cacheReadInputTokens": 254406,
    "cacheCreationInputTokens": 23447,
    "webSearchRequests": 0,
    "costUSD": 0.014148760000000002,
    "contextWindow": 1000000,
    "maxOutputTokens": 128000,
    "thinkingTokens": 8081,
    "canonicalModel": "claude-haiku-5-5",
    "provider": "firstParty",
    "costBasis": "list"
   }
  },
  "permission_denials": [],
  "terminal_reason": "completed",
  "fast_mode_state": "off",
  "fast_mode_disabled_reason": "sdk_opt_in_required",
  "subagent_stats": {
   "spawned": 0,
   "requested": {
    "background": 0,
    "foreground": 0,
    "unset": 0
   },
   "started_in_background": 0,
   "max_depth": 0,
   "spawned_by_subagents": 0,
   "completed": 0,
   "failed": 0,
   "killed": {
    "parent": 0,
    "user": 0,
    "system": 0
   },
   "refused": {
    "depth_limit": 0,
    "concurrency_limit": 0,
    "budget": 0
   },
   "by_type": {}
  },
  "safety_stops": 0,
  "is_error": false,
  "num_turns": 9,
  "subtype": "success",
  "api_error_status": null,
  "result": "I rewrote `wgroute.py` to the spec in TASK.md. It passes every check I could run: the `home.conf` sample, the parsing and ownership edge cases, a randomized comparison against a brute-force reference, and the speed target.\n\n**Results on `home.conf`**\n- `.route(\"[REDACTED:ipv4]\")` returns `\"PHONEkey=\"`.\n- `.findings` is `[(\"moved\", \"[REDACTED:ipv4]/32\", \"LAPTOPkey=\", \"PHONEkey=\"), (\"invalid\", 18, \"bogus/99\")]`.\n- `.peers()` gives LAPTOP `[\"fd42::2/128\"]`, PHONE `[\"[REDACTED:ipv4]/32\", \"[REDACTED:ipv4]/32\", \"fd42::3/128\"]`, NAS `[\"[REDACTED:ipv4]/0\", \"[REDACTED:ipv4]/24\"]`.\n\n**Verification**\n- Randomized agreement: 300 random configs, each checked on findings, `peers()` and 50 routes against a naive linear-scan version I wrote for the test. The reference is my own reading of the spec, so it catches indexing bugs but not misreadings of the spec.\n- Speed: 3,000 peers parse in about 0.06 s, and 20,000 `route()` calls take about 0.07 s. The target is under 10 s.\n\n**How it works**\n- Parsing is a single pass over lines. Each peer section is held until the next header or end of text, then processed in file order.\n- Ownership lives in one dict keyed by normalised network. `route()` uses an index built once after parsing: for each IP version it walks prefix lengths longest-first and does one dict lookup per length.\n\n**Judgment calls to check**\n- **Empty `PublicKey =`** is treated as missing (`missing_key`), not as a key of `\"\"`. The spec doesn't cover this case.\n- **Netmask-form entries** such as `[REDACTED:ipv4]/[REDACTED:ipv4]` are accepted, because `ipaddress.ip_network` parses them. The spec only mentions CIDR and bare addresses, so tell me if they should be `invalid`.\n\nThe test scripts are in `/tmp/wgcheck/`, outside the work directory. The work directory isn't a git repo, so I didn't commit anything.",
  "ttft_ms": 2682,
  "type": "result",
  "duration_ms": 490779,
  "uuid": "[REDACTED]",
  "ttft_stream_ms": 2607,
  "time_to_request_ms": 234,
  "first_content_frame_ms": 2607,
  "queued_turn_count": 0,
  "result_index": 0
 }
]

Get new runs and ranking changes weekly